Rough Service Lamps

Unit Sales Estimates in Thousands (1000's)

Calendar NEMA Linear Exponential NEMA Data /

Year Data Regression Growth Expo. Growth

1990 18,251 17,051 17,583 --

1991 15,920 16,441 16,716 --

1992 15,860 15,831 15,891 --

1993 15,289 15,222 15,108 --

1994 16,296 14,612 14,363 --

1995 15,400 14,002 13,655 --

1996 12,090 13,392 12,981 --

1997 10,995 12,782 12,341 --

1998 9,315 12,172 11,733 --

1999 9,869 11,562 11,154 --

2000 11,034 10,953 10,604 --

2001 13,522 10,343 10,081 --

2002 9,379 9,733 9,584 --

2003 9,019 9,123 9,112 --

2004 8,818 8,513 8,662 --

2005 8,211 7,903 8,235 --

2006 7,661 7,293 7,829 --

2007 -- 6,684 7,443 --

2008 -- 6,074 7,076 --

2009 -- 5,464 6,727 --

2010 7,971 4,854 6,395 1.246 Linear Regression - uses the "Trend" fun

2011 4,244 6,080 Exponential Growth - uses the "Growth" 

2012 3,634 5,780

2013 3,024 5,495

2014 2,414 5,224

2015 1,805 4,967

2016 1,195 4,722

2017 585 4,489

2018 (25) 4,268 NEMA aggregated and adjusted the com

Notes: In column E, "NEMA Growth / Ex

shipments, numbers greater than one an

somewhat, and numbers greater than tw

be initiated.

10,000 

12,000 

14,000 

16,000 

18,000 

20,000 

Thousands of lamps sold annually .

2018 (25) 4,268 NEMA aggregated and adjusted the com

2019 (635) 4,057 Participating companies contributing to t

2020 (1,245) 3,857 Participating companies contributing to t

2021 (1,855) 3,667

2022 (2,464) 3,486

2023 (3,074) 3,314

2024 (3,684) 3,151

2025 (4,294) 2,995
Linear Regression - uses the "Trend" function in Excel, fitting a straight line to the data using the method of least squares.

Exponential Growth - uses the "Growth" function in Excel, fitting an exponential curve to the existing x-values and y-values.

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Notes: In column E, "NEMA Growth / Expo. Growth," numbers less than one indicate the actual shipments are less than the projected 

shipments, numbers greater than one and less than or equal to two indicate the actual shipments exceed the projected shipments 

somewhat, and numbers greater than two indicate the actual shipments more than doubled projected shipments, and a rulemaking should 

be initiated.

-

2,000 

4,000 

6,000 

8,000 

10,000 

12,000 

14,000 

16,000 

18,000 

20,000 

1985 1990 1995 2000 2005 2010 2015 2020 2025 2030

NEMA Data

Expo. Growth

Linear Trend

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Participating companies contributing to the historical dataset were: GE, Halco, Osram Sylvania, Philips, and Westinghouse.

Participating companies contributing to the 2010 dataset were: Eiko Ltd., GE, Halco, Osram Sylvania, Philips, SLI Lighting, and Westinghouse.
he method of least squares.

isting x-values and y-values.

provided represents 100% of the US market.

l shipments are less than the projected 

nts exceed the projected shipments 

ojected shipments, and a rulemaking should 

, Philips, and Westinghouse.

ylvania, Philips, SLI Lighting, and Westinghouse.
Vibration Service Lamps

Unit Sales Estimates in Thousands (1000's)

Calendar NEMA Linear Exponential NEMA Data /

Year Data Regression Growth Expo. Growth

1990 9,533 8,906 9,183 --

1991 8,315 8,587 8,730 --

1992 8,283 8,269 8,300 --

1993 7,986 7,950 7,891 --

1994 8,512 7,632 7,502 --

1995 8,044 7,313 7,132 --

1996 6,314 6,995 6,780 --

1997 5,743 6,676 6,446 --

1998 4,865 6,358 6,128 --

1999 5,154 6,039 5,826 --

2000 5,763 5,721 5,539 --

2001 7,063 5,402 5,266 --

2002 4,899 5,084 5,006 --

2003 4,711 4,765 4,759 --

2004 4,606 4,447 4,525 --

2005 4,289 4,128 4,302 --

2006 4,002 3,810 4,089 --

2007 -- 3,491 3,888 --

2008 -- 3,173 3,696 --

2009 -- 2,854 3,514 --

2010 674 2,536 3,341 0.202 Linear Regression - uses the "Trend" fun

2011 2,217 3,176 Exponential Growth - uses the "Growth" 

2012 1,899 3,019

2013 1,580 2,871

2014 1,262 2,729

2015 943 2,594

2016 625 2,467

2017 306 2,345

2018 (12) 2,229 NEMA aggregated and adjusted the com

Notes: In column E, "NEMA Growth / Ex

shipments, numbers greater than one an

somewhat, and numbers greater than tw

be initiated.

10,000 

Thousands of lamps sold annually .

2018 (12) 2,229 NEMA aggregated and adjusted the com

2019 (331) 2,119 Participating companies contributing to t

2020 (650) 2,015 Participating companies contributing to t

2021 (968) 1,916

2022 (1,287) 1,821

2023 (1,605) 1,731

2024 (1,924) 1,646

2025 (2,242) 1,565
Linear Regression - uses the "Trend" function in Excel, fitting a straight line to the data using the method of least squares.

Exponential Growth - uses the "Growth" function in Excel, fitting an exponential curve to the existing x-values and y-values.

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Notes: In column E, "NEMA Growth / Expo. Growth," numbers less than one indicate the actual shipments are less than the projected 

shipments, numbers greater than one and less than or equal to two indicate the actual shipments exceed the projected shipments 

somewhat, and numbers greater than two indicate the actual shipments more than doubled projected shipments, and a rulemaking should 

be initiated.

-

1,000 

2,000 

3,000 

4,000 

5,000 

6,000 

7,000 

8,000 

9,000 

10,000 

1985 1990 1995 2000 2005 2010 2015 2020 2025 2030

NEMA Data

Expo. Growth

Linear Trend

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Participating companies contributing to the historical dataset were: GE, Halco, Osram Sylvania, Philips, and Westinghouse.

Participating companies contributing to the 2010 dataset were: Eiko Ltd., GE, Halco, Osram Sylvania, Philips, SLI Lighting, and Westinghouse.
he method of least squares.

isting x-values and y-values.

provided represents 100% of the US market.

l shipments are less than the projected 

nts exceed the projected shipments 

ojected shipments, and a rulemaking should 

, Philips, and Westinghouse.

ylvania, Philips, SLI Lighting, and Westinghouse.
3-Way Incandescent Lamps

Unit Sales Estimates in Thousands (1000's)

Calendar NEMA Linear Exponential NEMA Data /

Year Data Regression Growth Expo. Growth

1990 61,952 62,560 62,912 --

1991 59,858 62,008 62,266 --

1992 60,566 61,457 61,627 --

1993 58,396 60,906 60,994 --

1994 55,867 60,354 60,367 --

1995 58,570 59,803 59,747 --

1996 58,924 59,252 59,134 --

1997 67,047 58,700 58,527 --

1998 60,374 58,149 57,926 --

1999 61,294 57,598 57,331 --

2000 58,034 57,046 56,742 --

2001 58,893 56,495 56,159 --

2002 59,234 55,944 55,583 --

2003 56,870 55,393 55,012 --

2004 57,610 54,841 54,447 --

2005 52,221 54,290 53,888 --

2006 42,825 53,739 53,334 --

2007 -- 53,187 52,787 --

2008 -- 52,636 52,245 --

2009 -- 52,085 51,708 --

2010 29,140 51,533 51,177 0.569 Linear Regression - uses the "Trend" fun

2011 50,982 50,652 Exponential Growth - uses the "Growth" 

2012 50,431 50,131

2013 49,879 49,617

2014 49,328 49,107

2015 48,777 48,603

2016 48,225 48,104

2017 47,674 47,610

2018 47,123 47,121 NEMA aggregated and adjusted the com

Notes: In column E, "NEMA Growth / Ex

shipments, numbers greater than one an

somewhat, and numbers greater than tw

be initiated.

25,000 

30,000 

35,000 

40,000 

45,000 

50,000 

55,000 

60,000 

65,000 

70,000 

Thousands of lamps sold annually .

2018 47,123 47,121 NEMA aggregated and adjusted the com

2019 46,571 46,637 Participating companies contributing to t

2020 46,020 46,158 Participating companies contributing to t

2021 45,469 45,684

2022 44,918 45,215

2023 44,366 44,750

2024 43,815 44,291

2025 43,264 43,836
Linear Regression - uses the "Trend" function in Excel, fitting a straight line to the data using the method of least squares.

Exponential Growth - uses the "Growth" function in Excel, fitting an exponential curve to the existing x-values and y-values.

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Notes: In column E, "NEMA Growth / Expo. Growth," numbers less than one indicate the actual shipments are less than the projected 

shipments, numbers greater than one and less than or equal to two indicate the actual shipments exceed the projected shipments 

somewhat, and numbers greater than two indicate the actual shipments more than doubled projected shipments, and a rulemaking should 

be initiated.

25,000 

30,000 

35,000 

40,000 

45,000 

50,000 

55,000 

60,000 

65,000 

70,000 

1985 1990 1995 2000 2005 2010 2015 2020 2025 2030

NEMA Data

Expo. Growth

Linear Trend

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Participating companies contributing to the historical dataset were: GE, Halco, Osram Sylvania, Philips, and Westinghouse.

Participating companies contributing to the 2010 dataset were: Eiko Ltd., GE, Halco, Osram Sylvania, Philips, SLI Lighting, and Westinghouse.
he method of least squares.

isting x-values and y-values.

provided represents 100% of the US market.

l shipments are less than the projected 

nts exceed the projected shipments 

ojected shipments, and a rulemaking should 

, Philips, and Westinghouse.

ylvania, Philips, SLI Lighting, and Westinghouse.
2,601-3,300 Lumen General Service Incandescent Lamps

Unit Sales Estimates in Thousands (1000's)

Calendar NEMA Linear Exponential NEMA Data /

Year Data Regression Growth Expo. Growth

1990 31,383 32,668 32,571 --

1991 30,639 32,733 32,633 --

1992 30,612 32,799 32,696 --

1993 31,493 32,865 32,759 --

1994 29,706 32,931 32,822 --

1995 32,371 32,996 32,885 --

1996 35,306 33,062 32,949 --

1997 39,090 33,128 33,012 --

1998 35,743 33,194 33,076 --

1999 36,602 33,259 33,139 --

2000 37,179 33,325 33,203 --

2001 34,576 33,391 33,267 --

2002 33,632 33,457 33,331 --

2003 33,980 33,522 33,395 --

2004 32,374 33,588 33,460 --

2005 31,065 33,654 33,524 --

2006 28,541 33,720 33,589 --

2007 -- 33,785 33,653 --

2008 -- 33,851 33,718 --

2009 -- 33,917 33,783 --

2010 7,140 33,983 33,848 0.211 Linear Regression - uses the "Trend" fun

2011 34,049 33,913 Exponential Growth - uses the "Growth" 

2012 34,114 33,979

2013 34,180 34,044

2014 34,246 34,110

2015 34,312 34,175

2016 34,377 34,241

2017 34,443 34,307

2018 34,509 34,373 NEMA aggregated and adjusted the com

Notes: In column E, "NEMA Growth / Ex

shipments, numbers greater than one an

somewhat, and numbers greater than tw

be initiated.

10,000 

15,000 

20,000 

25,000 

30,000 

35,000 

40,000 

45,000 

Thousands of lamps sold annually .

2018 34,509 34,373 NEMA aggregated and adjusted the com

2019 34,575 34,439 Participating companies contributing to t

2020 34,640 34,506 Participating companies contributing to t

2021 34,706 34,572

2022 34,772 34,639

2023 34,838 34,705

2024 34,903 34,772

2025 34,969 34,839
Linear Regression - uses the "Trend" function in Excel, fitting a straight line to the data using the method of least squares.

Exponential Growth - uses the "Growth" function in Excel, fitting an exponential curve to the existing x-values and y-values.

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Notes: In column E, "NEMA Growth / Expo. Growth," numbers less than one indicate the actual shipments are less than the projected 

shipments, numbers greater than one and less than or equal to two indicate the actual shipments exceed the projected shipments 

somewhat, and numbers greater than two indicate the actual shipments more than doubled projected shipments, and a rulemaking should 

be initiated.

5,000 

10,000 

15,000 

20,000 

25,000 

30,000 

35,000 

40,000 

45,000 

1985 1990 1995 2000 2005 2010 2015 2020 2025 2030

NEMA Data

Expo. Growth

Linear Trend

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Participating companies contributing to the historical dataset were: GE, Halco, Osram Sylvania, Philips, and Westinghouse.

Participating companies contributing to the 2010 dataset were: Eiko Ltd., GE, Halco, Osram Sylvania, Philips, SLI Lighting, and Westinghouse.
he method of least squares.

isting x-values and y-values.

provided represents 100% of the US market.

l shipments are less than the projected 

nts exceed the projected shipments 

ojected shipments, and a rulemaking should 

, Philips, and Westinghouse.

ylvania, Philips, SLI Lighting, and Westinghouse.
Shatter Resistant Lamps

Unit Sales Estimates in Thousands (1000's)

Calendar NEMA Linear Exponential NEMA Data /

Year Data Regression Growth Expo. Growth

1990 1,515 1,580 1,575 --

1991 1,481 1,584 1,579 --

1992 1,481 1,588 1,583 --

1993 1,526 1,592 1,587 --

1994 1,439 1,596 1,591 --

1995 1,570 1,600 1,595 --

1996 1,714 1,604 1,598 --

1997 1,901 1,608 1,602 --

1998 1,739 1,612 1,606 --

1999 1,780 1,616 1,610 --

2000 1,809 1,620 1,614 --

2001 1,682 1,624 1,618 --

2002 1,637 1,628 1,622 --

2003 1,655 1,632 1,626 --

2004 1,577 1,636 1,630 --

2005 1,513 1,640 1,634 --

2006 1,390 1,644 1,638 --

2007 -- 1,649 1,643 --

2008 -- 1,653 1,647 --

2009 -- 1,657 1,651 --

2010 848 1,661 1,655 0.512 Linear Regression - uses the "Trend" fun

2011 1,665 1,659 Exponential Growth - uses the "Growth" 

2012 1,669 1,663

2013 1,673 1,667

2014 1,677 1,671

2015 1,681 1,675

2016 1,685 1,679

2017 1,689 1,684

2018 1,693 1,688 NEMA aggregated and adjusted the com

Notes: In column E, "NEMA Growth / Ex

shipments, numbers greater than one an

somewhat, and numbers greater than tw

be initiated.

1,000 

1,500 

2,000 

2,500 

3,000 

Thousands of lamps sold annually .

2018 1,693 1,688 NEMA aggregated and adjusted the com

2019 1,697 1,692 Participating companies contributing to t

2020 1,701 1,696 Participating companies contributing to t

2021 1,705 1,700

2022 1,709 1,705

2023 1,713 1,709

2024 1,717 1,713

2025 1,721 1,717
Linear Regression - uses the "Trend" function in Excel, fitting a straight line to the data using the method of least squares.

Exponential Growth - uses the "Growth" function in Excel, fitting an exponential curve to the existing x-values and y-values.

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Notes: In column E, "NEMA Growth / Expo. Growth," numbers less than one indicate the actual shipments are less than the projected 

shipments, numbers greater than one and less than or equal to two indicate the actual shipments exceed the projected shipments 

somewhat, and numbers greater than two indicate the actual shipments more than doubled projected shipments, and a rulemaking should 

be initiated.

-

500 

1,000 

1,500 

2,000 

2,500 

3,000 

1985 1990 1995 2000 2005 2010 2015 2020 2025 2030

NEMA Data

Expo. Growth

Linear Trend

NEMA aggregated and adjusted the company data using market share estimates so the data provided represents 100% of the US market.

Participating companies contributing to the historical dataset were: GE, Halco, Osram Sylvania, Philips, and Westinghouse.

Participating companies contributing to the 2010 dataset were: Eiko Ltd., GE, Halco, Osram Sylvania, Philips, SLI Lighting, and Westinghouse.
he method of least squares.

isting x-values and y-values.

provided represents 100% of the US market.

l shipments are less than the projected 

nts exceed the projected shipments 

ojected shipments, and a rulemaking should 

, Philips, and Westinghouse.

ylvania, Philips, SLI Lighting, and Westinghouse.